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Volumn , Issue , 2009, Pages 57-64

Sparse convolved Gaussian processes for multi-output regression

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

EID: 84858759793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (214)

References (15)
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    • Bonilla, E.V.1    Chai, K.M.2    Williams, C.K.I.3
  • 2
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    • L. Saul, Y. Weiss, and L. Bouttou, editors, Cambridge, MA. MIT Press
    • P. Boyle and M. Frean. Dependent Gaussian processes. In L. Saul, Y. Weiss, and L. Bouttou, editors, NIPS, volume 17, pages 217-224, Cambridge, MA, 2005. MIT Press.
    • (2005) NIPS , vol.17 , pp. 217-224
    • Boyle, P.1    Frean, M.2
  • 4
    • 49549105346 scopus 로고    scopus 로고
    • Gaussian process modelling of latent chemical species: Applications to inferring transcription factor activities
    • P. Gao, A. Honkela, M. Rattray, and N. D. Lawrence. Gaussian process modelling of latent chemical species: Applications to inferring transcription factor activities. Bioinformatics, 24(16):i70-i75, 2008.
    • (2008) Bioinformatics , vol.24 , Issue.16
    • Gao, P.1    Honkela, A.2    Rattray, M.3    Lawrence, N.D.4
  • 6
    • 2942619617 scopus 로고    scopus 로고
    • Space and space-time modelling using process convolutions
    • C. Anderson, V. Barnett, P. Chatwin, and A. El-Shaarawi, editors. Springer-Verlag
    • D. M. Higdon. Space and space-time modelling using process convolutions. In C. Anderson, V. Barnett, P. Chatwin, and A. El-Shaarawi, editors, Quantitative methods for current environmental issues, pages 37-56. Springer-Verlag, 2002.
    • (2002) Quantitative Methods for Current Environmental Issues , pp. 37-56
    • Higdon, D.M.1
  • 7
    • 85162045496 scopus 로고    scopus 로고
    • Learning for larger datasets with the Gaussian process latent variable model
    • N. D. Lawrence. Learning for larger datasets with the Gaussian process latent variable model. In Meila and Shen [9].
    • Meila and Shen , Issue.9
    • Lawrence, N.D.1
  • 8
    • 80053225881 scopus 로고    scopus 로고
    • Fast sparse Gaussian process methods: The informative vector machine
    • S. Becker, S. Thrun, and K. Obermayer, editors, Cambridge, MA. MIT Press
    • N. D. Lawrence, M. Seeger, and R. Herbrich. Fast sparse Gaussian process methods: The informative vector machine. In S. Becker, S. Thrun, and K. Obermayer, editors, NIPS, volume 15, pages 625-632, Cambridge, MA, 2003. MIT Press.
    • (2003) NIPS , vol.15 , pp. 625-632
    • Lawrence, N.D.1    Seeger, M.2    Herbrich, R.3
  • 9
    • 85161999591 scopus 로고    scopus 로고
    • San Juan, Puerto Rico, 21-24 March. Omnipress
    • M. Meila and X. Shen, editors. AISTATS, San Juan, Puerto Rico, 21-24 March 2007. Omnipress.
    • (2007) AISTATS
    • Meila, M.1    Shen, X.2
  • 13
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    • Sparse Gaussian processes using pseudo-inputs
    • Y. Weiss, B. Schölkopf, and J. C. Platt, editors, Cambridge, MA. MIT Press
    • E. Snelson and Z. Ghahramani. Sparse Gaussian processes using pseudo-inputs. In Y. Weiss, B. Schölkopf, and J. C. Platt, editors, NIPS, volume 18, Cambridge, MA, 2006. MIT Press.
    • (2006) NIPS , vol.18
    • Snelson, E.1    Ghahramani, Z.2
  • 14
    • 85162001001 scopus 로고    scopus 로고
    • Local and global sparse Gaussian process approximations
    • E. Snelson and Z. Ghahramani. Local and global sparse Gaussian process approximations. In Meila and Shen [9].
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    • Snelson, E.1    Ghahramani, Z.2
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    • Semiparametric latent factor models
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    • Y. W. Teh, M. Seeger, and M. I. Jordan. Semiparametric latent factor models. In R. G. Cowell and Z. Ghahramani, editors, AISTATS 10, pages 333-340, Barbados, 6-8 January 2005. Society for Artificial Intelligence and Statistics.
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    • Teh, Y.W.1    Seeger, M.2    Jordan, M.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.